metadata

tags:
  - structured-data-classification
library_name: generic

Structured Data Classification repository template

This is a template repository for structured data classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps

Specify the requirements by defining a requirements.txt file.
Implement the pipeline.py __init__ and __call__ methods. These methods are called by the Inference API. The __init__ method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The __call__ method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.

Example repos

https://huggingface.co/osanseviero/wine-quality

How to start

First create a repo in https://hf.co/new. Then clone this template and push it to your repo.

git clone https://huggingface.co/templates/structured-data-classification
cd structured-data-classification
git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
git push --force